We build the apps that run orders, stock, receivables and reports by themselves, with AI.
Pick a problem on the left.
Pick one. See what it costs you today, and what changes once it runs by itself.
What it looks like with TAByte
Illustration. Names and numbers are not real data.
TodayAnalysed when someone has time, 1–2 hours per shop
With TAByteAI Agents analyse every shop each night and show which can buy more
What it looks like with TAByte
Illustration. Names and numbers are not real data.
TodayWorked out in Excel, often wrong: stock runs out or piles up
With TAByteA suggested quantity for every item, from real sales and stock
What it looks like with TAByte
Illustration. Names and numbers are not real data.
TodayDays of recalculating in Excel after every change
With TAByteEvery tier recalculated in minutes, margin floor checked
What it looks like with TAByte
Each instruction has a person in charge and a deadline. Each app shows its own; late ones stand out.
Illustration. Names and numbers are not real data.
TodayInstructions sink in WhatsApp groups, nobody checks
With TAByteEvery instruction becomes a to-do with an owner and a deadline, inside every app
What it looks like with TAByte
Biggest gap this month: collections in Semarang, 6 of 8 salesmen.
Illustration. Names and numbers are not real data.
TodayTraining picked by feel, results never measured
With TAByteYour data shows who needs training in what; results measured every month
What it looks like with TAByte
Public AI
Consider the customer’s payment history and your company’s credit policy before deciding…
Your company AI
Not yet. Toko Berkah has 3 overdue invoices, 21 days late on average. Per the credit SOP: collect first, then talk credit.
Illustration. Names and numbers are not real data.
TodayThe answers live only in senior people’s heads
With TAByteTheir know-how kept in a private company AI
A home appliance (white goods) distributor with 12 branches and around 250 staff. Here’s what changed once our apps went in.
Case study 1: sales visit reports
Case study 2: shop opportunity analysis
Like having a night shift of analysts, without adding a single person.
Figures from the client’s own records. ±400 hours is 200–300 shops at 1–2 hours each, for one full round of analysis.
Want the details? Ask us in a free consultationToday, what each team knows stays in people’s heads and goes nowhere. With one brain, it’s stored once and everyone is connected.
Today
With one brain
going into the braincoming back to everyone
Your existing systems stay. We connect to them instead of replacing them.
We start with the process that takes the most time. Once your team feels the difference, the next app follows.
Most first systems run within 2–6 weeks, starting with one division.
Don’t see your question? Ask it in a free consultation.
No. We provide short training, guides in Bahasa Indonesia and support after the system goes live.
No. We connect to the systems you already have, as long as they can exchange data with other apps. We check this together in the consultation.
A software house usually builds an app to order, then hands it over. We start by mapping your process, build on apps already running in real operations, and stay with you until your team actually uses them.
It depends on the process and connections you need. The first system usually runs within 2–6 weeks, and you can start with one division. We bring a cost estimate to the free consultation.
Only authorised people can open the data, data is encrypted and every AI action is recorded. Settings can also follow your company’s IT policy.
In a free consultation we map your workflow and show which work is worth automating first, with a cost estimate.
Training, tests and honest reviews of AI tools and models, free for everyone.
Example posts. The latest three videos go here once the channels are live.
Your own online store with a 5% fee per sale, so buyers come to you instead of a marketplace.
Visit tokotabit.com